摘要
针对PMU最优配置问题,提出一种结合自适应遗传算法与禁忌搜索算法的混合算法。通过初始配置原则,缩小了算法的寻优范围。充分利用两种算法各自的特点,结合自适应遗传算法并行计算特性与禁忌搜索算法跳出局部最优解的能力,使得该混合算法寻得全局最优解的同时,提高了算法的优化效率,增强了算法的鲁棒性。最后利用IEEE14、IEEE39、IEEE57节点系统对该混合算法与其他两种遗传算法进行了对比验证。
A new hybrid algorithm integrated adaptive genetic algorithm with Tabu search is presented for solving the optimal PMU placement problem. It can minify the searching scope by initial placement rules. By taking fully advantage of the characteristics of the two algorithms and combined the parallel computing feature of adaptive genetic algorithm and the capacity of avoiding local optimal solution of Tabu search algorithm, the optimization efficiency and robustness of the algorithm are improved simuhaneously when the hybrid algorithm finds the optimal solution of the overall situation. The contrast and verification between the hybrid algorithm and the other two genetic algorithms are carried out by the numerical calculation of IEEE 14 - bus, IEEE 39 - bus and IEEE 57 - bus system, respectively.
出处
《四川电力技术》
2009年第3期56-60,共5页
Sichuan Electric Power Technology
